Random processes are monitored over space and time by a network of stations distributed across a spatial region. Auxiliary information is often gathered not only at the stations but at other points across the region. The ...

Random processes are monitored over space and time by a network of stations distributed across a spatial region. Auxiliary information is often gathered not only at the stations but at other points across the region. The ...

High-resolution yield maps are an essential tool in modern agriculture. Using spatial interpolation, spatially discrete sampled yield data from yield monitors can be transformed into continuous yield maps. However, spatial ...

This application note introduces an app for Android smartphones to create maps of the spatial variability of thermal comfort indexes and meteorological parameters. The application was developed through the Java object-oriented ...

The spatial distribution of certain climatic element from collected sample points is a usual task in Climatology. However, the phenomenon generally presents spatially correlated so that there is a need to use an interpolation ...

In this work we consider a non-homogenous Poisson model to study the behaviour of the number of times that a pollutant's concentration surpasses a given threshold of interest. Spatial dependence is imposed on the ...